May 01, 2012
IVR: Voci on the Battlefield
By Julie Griffin, Contributing Writer
Back in May, Voci Technologies, Inc., offered to provide their innovative translation solutions to the U.S. Army to be used in combat. Today, their prototype system is ready for battle. Voci’s systems can accurately identify six targeted languages in real time, and simultaneously transcribe them to text in English. This is a far more advanced system than Rosetta Stone (although the army ended their contract with them in September of last year). Since Voci’s translation solutions are unmatched by any others in the industry in speed and accuracy, the implementation of Voci’s services will probably be highly desired for commercial use, as well.
Voci Technologies, Inc. developed the fastest speech recognition system that uses live audio streaming or recorded audio for commercial purposes, but their solution for the U.S. Army is ideal, not just for its accuracy and speed, but for its ability to work on large amounts of data. According to the press release, one single Voci server can simultaneously scan up to 350 ports, can process 100 hours of speech in one hour, thus, 850,000 hours of speech in a year. Voci scanners are also designed to detect keywords or phrases and alert users for immediate attention. The audio data is captured in call centers where they are equipped with auto-transcription software.
The targeted languages in the U.S. Army’s prototype are Arabic, English, Farsi, Iraqi Arabic, Pashto, and Urdu. As one would expect, there are many uses for this type of service in commercial industries, as the press statement reveals that, “Voci’s affordable speech recognizers enable customer-driven enterprises to uncover information from 100 percent of customer conversations captured through call centers.” But since there are currently no competitive alternatives, anti-crime and anti-terrorist organizations find Voci’s highly accurate translations services to be very valuable, because these are groups that can't afford for anything to get lost in translation.
Edited by Juliana Kenny
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